CBP Neural Net Implemented in Hardware

NASA has applied for a patent on a novel method of implementing a
cascade back-propagation (CBP) neural network in VLSI hardware.
Previously, even hardware-based neural networks required software-based
learning algorithms. By implementing CBP learning in
hardware along with the neural net, the time required to train the
network is greatly reduced. NASA is calling the new system On-Chip
Cascade Back Propagation Learning. Details are available in a NASA Tech
Brief (PDF format, free registration required).